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Qinsheng Zhang
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2020 – today
- 2025
- [i23]Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski:
Cosmos World Foundation Model Platform for Physical AI. CoRR abs/2501.03575 (2025) - 2024
- [b1]Qinsheng Zhang:
Learning, sampling and inference with stochastic differential equations. Georgia Institute of Technology, Atlanta, GA, USA, 2024 - [c12]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CVPR 2024: 7183-7193 - [c11]Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CVPR 2024: 7194-7203 - [c10]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. ICML 2024 - [c9]Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen:
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. NeurIPS 2024 - [i22]Yujia Huang, Adishree Ghatare, Yuanzhe Liu, Ziniu Hu, Qinsheng Zhang, Chandramouli Shama Sastry, Siddharth Gururani, Sageev Oore, Yisong Yue:
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. CoRR abs/2402.14285 (2024) - [i21]Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han:
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models. CoRR abs/2402.19481 (2024) - [i20]Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han:
Condition-Aware Neural Network for Controlled Image Generation. CoRR abs/2404.01143 (2024) - [i19]Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen:
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance. CoRR abs/2405.17661 (2024) - [i18]Jiaojiao Fan, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
A parallel framework for graphical optimal transport. CoRR abs/2406.10849 (2024) - [i17]Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling. CoRR abs/2409.02908 (2024) - [i16]Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang:
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation. CoRR abs/2409.18114 (2024) - [i15]Yuval Atzmon, Maciej Bala, Yogesh Balaji, Tiffany Cai, Yin Cui, Jiaojiao Fan, Yunhao Ge, Siddharth Gururani, Jacob Samuel Huffman, Ronald Isaac, Pooya Jannaty, Tero Karras, Grace Lam, J. P. Lewis, Aaron Licata, Yen-Chen Lin, Ming-Yu Liu, Qianli Ma, Arun Mallya, Ashlee Martino-Tarr, Doug Mendez, Seungjun Nah, Chris Pruett, Fitsum Reda, Jiaming Song, Ting-Chun Wang, Fangyin Wei, Xiaohui Zeng, Yu Zeng, Qinsheng Zhang:
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. CoRR abs/2411.07126 (2024) - [i14]Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang:
Edify 3D: Scalable High-Quality 3D Asset Generation. CoRR abs/2411.07135 (2024) - 2023
- [j8]Qinsheng Zhang, Amirhossein Taghvaei
, Yongxin Chen:
An optimal control approach to particle filtering. Autom. 151: 110894 (2023) - [j7]Bo Yuan
, Qinsheng Zhang
, Yongxin Chen
:
An Optimal Control Approach to Particle Filtering on Lie Groups. IEEE Control. Syst. Lett. 7: 1195-1200 (2023) - [c8]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CVPR 2023: 10188-10198 - [c7]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. ICLR 2023 - [c6]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. ICLR 2023 - [c5]Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat:
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation. ICML 2023: 32483-32498 - [i13]Qinsheng Zhang, Jiaming Song, Xun Huang, Yongxin Chen, Ming-Yu Liu:
DiffCollage: Parallel Generation of Large Content with Diffusion Models. CoRR abs/2303.17076 (2023) - [i12]Qinsheng Zhang, Jiaming Song, Yongxin Chen:
Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling. CoRR abs/2308.02157 (2023) - 2022
- [j6]Rahul Singh
, Qinsheng Zhang, Yongxin Chen:
Learning hidden Markov models from aggregate observations. Autom. 137: 110100 (2022) - [j5]Qinsheng Zhang, Rahul Singh, Yongxin Chen
:
Inference of Aggregate Hidden Markov Models With Continuous Observations. IEEE Control. Syst. Lett. 6: 2377-2382 (2022) - [j4]Rahul Singh
, Isabel Haasler
, Qinsheng Zhang
, Johan Karlsson
, Yongxin Chen
:
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. IEEE Trans. Autom. Control. 67(9): 4483-4497 (2022) - [c4]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: A Stochastic Control Approach For Sampling. ICLR 2022 - [c3]Jiaojiao Fan, Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
Variational Wasserstein gradient flow. ICML 2022: 6185-6215 - [i11]Qinsheng Zhang, Yongxin Chen:
Fast Sampling of Diffusion Models with Exponential Integrator. CoRR abs/2204.13902 (2022) - [i10]Qinsheng Zhang, Molei Tao, Yongxin Chen:
gDDIM: Generalized denoising diffusion implicit models. CoRR abs/2206.05564 (2022) - 2021
- [j3]Rahul Singh, Isabel Haasler
, Qinsheng Zhang, Johan Karlsson
, Yongxin Chen
:
Incremental Inference of Collective Graphical Models. IEEE Control. Syst. Lett. 5(2): 421-426 (2021) - [j2]Isabel Haasler
, Rahul Singh
, Qinsheng Zhang, Johan Karlsson
, Yongxin Chen
:
Multi-Marginal Optimal Transport and Probabilistic Graphical Models. IEEE Trans. Inf. Theory 67(7): 4647-4668 (2021) - [c2]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. NeurIPS 2021: 16280-16291 - [i9]Qinsheng Zhang, Amirhossein Taghvaei, Yongxin Chen:
An optimal control approach to particle filtering. CoRR abs/2110.03199 (2021) - [i8]Qinsheng Zhang, Yongxin Chen:
Diffusion Normalizing Flow. CoRR abs/2110.07579 (2021) - [i7]Qinsheng Zhang, Yongxin Chen:
Path Integral Sampler: a stochastic control approach for sampling. CoRR abs/2111.15141 (2021) - 2020
- [c1]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. L4DC 2020: 958-968 - [i6]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference with Aggregate Data: An Optimal Transport Approach. CoRR abs/2003.13933 (2020) - [i5]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. CoRR abs/2005.00585 (2020) - [i4]Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Multi-marginal optimal transport and probabilistic graphical models. CoRR abs/2006.14113 (2020) - [i3]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Incremental inference of collective graphical models. CoRR abs/2006.15035 (2020) - [i2]Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Filtering for Aggregate Hidden Markov Models with Continuous Observations. CoRR abs/2011.02521 (2020) - [i1]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning Hidden Markov Models from Aggregate Observations. CoRR abs/2011.11236 (2020)
2010 – 2019
- 2014
- [j1]Lin Jia, Casey G. Cegielski, Qinsheng Zhang:
The Effect of Trust on Customers' Online Repurchase Intention in Consumer-to-Consumer Electronic Commerce. J. Organ. End User Comput. 26(3): 65-86 (2014)
Coauthor Index

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last updated on 2025-03-04 21:26 CET by the dblp team
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